# Emerging Patterns of GenAI Use in K-12 Science and Mathematics Education

arXiv: https://arxiv.org/abs/2509.10747 · HTML: https://mlsanity.com/paper/2509.10747/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Sep 2025.

## Built on by (most cited first, 2 of 2)

- [Generative AI in K-12 Classrooms: A Midyear Implementation Report](https://mlsanity.com/paper/2605.16277/) (2026)
- [Human-LLM Collaborative Inductive Coding for Conceptualizing K-12 Educator AI Use](https://mlsanity.com/paper/2607.28889/) (2026)

## Abstract (arXiv)

In this report, we share findings from a nationally representative survey of US public school math and science teachers, examining current generative AI (GenAI) use, perceptions, constraints, and institutional support. We show trends in math and science teacher adoption of GenAI, including frequency and purpose of use. We describe how teachers use GenAI with students and their beliefs about GenAI's impact on student learning. We share teachers' reporting on the school and district support they are receiving for GenAI learning and implementation, and the support they would like schools and districts to provide, and close with implications for policy, practice, and research. Given the rapid pace of GenAI development and growing pressure on schools to integrate emerging technologies, these findings offer timely insights into how frontline educators are navigating this shift in practice.